The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-18"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8488977 (up from 8349950 yesterday: 1.67 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "453987 (up from 448959 yesterday: 1.12 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.35



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2191053 27763 1.28 118440 723 0.61 5.41
Brazil 978142 22765 2.38 47748 1238 2.66 4.88
Russia 560321 7772 1.41 7650 182 2.44 1.37
India 380532 13586 3.70 12573 336 2.75 3.30
United Kingdom 301935 1218 0.41 42373 135 0.32 14.03
Spain 245268 585 0.24 27136 0 0.00 11.06
Peru 244388 3480 1.44 7461 204 2.81 3.05
Italy 238159 331 0.14 34514 66 0.19 14.49
Chile 225103 4475 2.03 3841 226 6.25 1.71
Iran 197647 2596 1.33 9272 87 0.95 4.69
France 195272 467 0.24 29606 28 0.09 15.16
Germany 189817 1213 0.64 8875 24 0.27 4.68
Turkey 184031 1304 0.71 4882 21 0.43 2.65
Mexico 165455 5662 3.54 19747 667 3.50 11.93
Pakistan 165062 4944 3.09 3229 136 4.40 1.96
Saudi Arabia 145991 4757 3.37 1139 48 4.40 0.78
Bangladesh 102292 3803 3.86 1343 38 2.91 1.31
Canada 101877 386 0.38 8361 49 0.59 8.21
China 84494 36 0.04 4638 0 0.00 5.49
Qatar 84441 1267 1.52 86 4 4.88 0.10
South Africa 83890 3478 4.33 1737 63 3.76 2.07
Belgium 60348 104 0.17 9683 8 0.08 16.05
Colombia 57202 2119 3.85 1955 68 3.60 3.42
Belarus 56657 625 1.12 331 7 2.16 0.58
Sweden 56043 1481 2.71 5053 12 0.24 9.02
Egypt 50437 1218 2.47 1938 88 4.76 3.84
Netherlands 49527 115 0.23 6097 4 0.07 12.31
Ecuador 49097 607 1.25 4087 80 2.00 8.32
United Arab Emirates 43752 388 0.89 298 3 1.02 0.68
Indonesia 42762 1331 3.21 2339 63 2.77 5.47
Singapore 41473 257 0.62 26 0 0.00 0.06
Portugal 38089 417 1.11 1524 1 0.07 4.00
Kuwait 38074 541 1.44 308 2 0.65 0.81
Argentina 37510 1958 5.51 948 35 3.83 2.53
Ukraine 34833 847 2.49 976 23 2.41 2.80
Switzerland 31200 13 0.04 1956 0 0.00 6.27
Poland 31015 314 1.02 1316 30 2.33 4.24
Philippines 27799 561 2.06 1116 8 0.72 4.01
Afghanistan 27532 658 2.45 546 42 8.33 1.98
Oman 26818 739 2.83 119 3 2.59 0.44
Iraq 25717 1463 6.03 856 83 10.74 3.33
Ireland 25355 14 0.06 1714 4 0.23 6.76
Dominican Republic 24645 540 2.24 635 2 0.32 2.58
Panama 23351 754 3.34 475 5 1.06 2.03
Romania 23080 320 1.41 1473 22 1.52 6.38
Bolivia 21499 814 3.94 697 18 2.65 3.24
Bahrain 20430 469 2.35 55 6 12.24 0.27
Israel 20036 253 1.28 303 0 0.00 1.51
Armenia 18698 665 3.69 309 7 2.32 1.65
Nigeria 18480 745 4.20 475 6 1.28 2.57
Japan 17588 58 0.33 935 0 0.00 5.32
Austria 17223 20 0.12 688 1 0.15 3.99
Kazakhstan 15877 0 0.00 100 3 3.09 0.63
Moldova 13106 374 2.94 444 11 2.54 3.39
Ghana 12929 339 2.69 66 0 0.00 0.51
Serbia 12616 94 0.75 258 1 0.39 2.05
Denmark 12544 50 0.40 600 2 0.33 4.78
Korea, South 12306 49 0.40 280 0 0.00 2.28
Guatemala 11868 617 5.48 449 17 3.94 3.78
Algeria 11385 117 1.04 811 12 1.50 7.12
Azerbaijan 11329 338 3.08 139 6 4.51 1.23
Honduras 10739 440 4.27 343 7 2.08 3.19
Czechia 10280 118 1.16 334 1 0.30 3.25
Cameroon 9864 0 0.00 276 0 0.00 2.80
Morocco 9074 77 0.86 213 0 0.00 2.35
Norway 8708 16 0.18 244 1 0.41 2.80
Malaysia 8529 14 0.16 121 0 0.00 1.42
Sudan 8020 0 0.00 487 0 0.00 6.07
Nepal 7848 671 9.35 22 2 10.00 0.28
Australia 7409 18 0.24 102 0 0.00 1.38
Finland 7119 2 0.03 326 0 0.00 4.58
Cote d’Ivoire 6444 381 6.28 49 1 2.08 0.76
Uzbekistan 5767 85 1.50 19 0 0.00 0.33
Senegal 5475 106 1.97 76 3 4.11 1.39
Congo (Kinshasa) 5283 183 3.59 117 2 1.74 2.21
Tajikistan 5279 58 1.11 51 0 0.00 0.97

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 385760 618 0.16 30974 35 0.11 8.03 19829.79 1592.20 1 in 50
New Jersey 168107 404 0.24 12869 34 0.26 7.66 18926.30 1448.85 1 in 53
California 167086 4288 2.63 5355 84 1.59 3.20 4228.72 135.53 1 in 236
Illinois 134778 593 0.44 6537 52 0.80 4.85 10636.04 515.87 1 in 94
Massachusetts 106422 271 0.26 7769 36 0.47 7.30 15313.61 1117.92 1 in 65
Texas 101259 3560 3.64 2129 40 1.91 2.10 3492.19 73.42 1 in 286
Florida 85926 3207 3.88 3061 43 1.42 3.56 4000.70 142.52 1 in 250
Pennsylvania 84683 394 0.47 6361 42 0.66 7.51 6614.83 496.88 1 in 151
Michigan 66798 301 0.45 6061 25 0.41 9.07 6688.59 606.90 1 in 150
Maryland 63229 260 0.41 3016 20 0.67 4.77 10458.54 498.87 1 in 96
Georgia 60912 882 1.47 2605 30 1.17 4.28 5736.99 245.35 1 in 174
Virginia 56238 463 0.83 1586 3 0.19 2.82 6588.70 185.81 1 in 152
Louisiana 48634 0 0.00 3062 0 0.00 6.30 10461.64 658.67 1 in 96
North Carolina 48168 1234 2.63 1196 15 1.27 2.48 4592.64 114.03 1 in 218
Connecticut 45440 11 0.02 4226 7 0.17 9.30 12745.12 1185.32 1 in 78
Arizona 43445 2508 6.13 1283 34 2.72 2.95 5705.27 168.49 1 in 175
Ohio 43122 700 1.65 2633 22 0.84 6.11 3689.08 225.25 1 in 271
Indiana 41438 425 1.04 2491 16 0.65 6.01 6155.18 370.01 1 in 162
Tennessee 32770 656 2.04 508 10 2.01 1.55 4795.72 74.34 1 in 209
Minnesota 31675 379 1.21 1376 19 1.40 4.34 5616.50 243.99 1 in 178
Colorado 29886 230 0.78 1638 7 0.43 5.48 5189.68 284.44 1 in 193
Alabama 28206 894 3.27 810 20 2.53 2.87 5752.59 165.20 1 in 174
Washington 27192 408 1.52 1245 19 1.55 4.58 3570.90 163.50 1 in 280
Iowa 24861 401 1.64 680 5 0.74 2.74 7879.70 215.53 1 in 127
Wisconsin 23876 420 1.79 719 6 0.84 3.01 4100.69 123.49 1 in 244
South Carolina 21533 977 4.75 621 4 0.65 2.88 4182.21 120.61 1 in 239
Mississippi 20641 0 0.00 938 0 0.00 4.54 6935.47 315.17 1 in 144
Nebraska 17414 183 1.06 239 5 2.14 1.37 9002.24 123.55 1 in 111
Missouri 17371 302 1.77 945 36 3.96 5.44 2830.34 153.97 1 in 353
Rhode Island 16269 56 0.35 885 9 1.03 5.44 15357.37 835.41 1 in 65
Utah 15839 495 3.23 152 3 2.01 0.96 4940.49 47.41 1 in 202
Arkansas 13928 322 2.37 208 11 5.58 1.49 4615.24 68.92 1 in 217
Kentucky 13197 202 1.55 520 2 0.39 3.94 2953.89 116.39 1 in 339
Nevada 12169 315 2.66 475 2 0.42 3.90 3950.77 154.21 1 in 253
Kansas 11753 109 0.94 251 4 1.62 2.14 4034.24 86.16 1 in 248
Delaware 10499 55 0.53 431 5 1.17 4.11 10781.87 442.61 1 in 93
New Mexico 10153 88 0.87 456 4 0.88 4.49 4842.07 217.47 1 in 207
District of Columbia 9903 56 0.57 527 4 0.76 5.32 14031.90 746.72 1 in 71
Oklahoma 9355 451 5.07 366 2 0.55 3.91 2364.18 92.49 1 in 423
Oregon 6366 148 2.38 187 4 2.19 2.94 1509.34 44.34 1 in 663
Puerto Rico 6111 108 1.80 147 0 0.00 2.41 1913.46 46.03 1 in 523
South Dakota 6109 59 0.98 78 0 0.00 1.28 6905.49 88.17 1 in 145
New Hampshire 5450 14 0.26 331 1 0.30 6.07 4008.20 243.43 1 in 249
Idaho 3743 111 3.06 89 1 1.14 2.38 2088.65 49.66 1 in 479
North Dakota 3193 27 0.85 75 1 1.35 2.35 4189.95 98.42 1 in 239
Maine 2878 42 1.48 102 0 0.00 3.54 2141.03 75.88 1 in 467
West Virginia 2418 42 1.77 88 0 0.00 3.64 1352.99 49.24 1 in 739
Wyoming 1144 30 2.69 18 0 0.00 1.57 1976.64 31.10 1 in 506
Vermont 1135 5 0.44 56 1 1.82 4.93 1818.94 89.75 1 in 550
Hawaii 762 18 2.42 17 0 0.00 2.23 538.18 12.01 1 in 1858
Alaska 707 12 1.73 12 0 0.00 1.70 966.45 16.40 1 in 1035
Montana 655 25 3.97 20 0 0.00 3.05 612.85 18.71 1 in 1632

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3179660 385760 12.13 163448.74
New Jersey 1171734 168107 14.35 131919.49
California 3074530 167086 5.43 77812.12
Illinois 1284693 134778 10.49 101381.88
Massachusetts 741260 106422 14.36 106663.74
Texas 1407741 101259 7.19 48549.69
Florida 1511312 85926 5.69 70366.45
Pennsylvania 624068 84683 13.57 48747.74
Michigan 850186 66798 7.86 85130.49
Maryland 447608 63229 14.13 74037.66
Georgia 663204 60912 9.18 62463.74
Virginia 502068 56238 11.20 58821.03
Louisiana 545221 48634 8.92 117282.25
North Carolina 693678 48167 6.94 66139.63
Connecticut 372585 45440 12.20 104503.51
Arizona 379732 43445 11.44 49867.02
Ohio 600024 43122 7.19 51331.92
Indiana 384722 41438 10.77 57146.39
Tennessee 652394 32770 5.02 95474.52
Minnesota 460879 31675 6.87 81721.47
Colorado 262216 29886 11.40 45533.60
Alabama 322534 28206 8.75 65780.51
Washington 435016 27192 6.25 57127.00
Iowa 240931 24861 10.32 76363.12
Wisconsin 457789 23876 5.22 78625.02
South Carolina 280523 21533 7.68 54484.09
Mississippi 238715 20641 8.65 80209.36
Nebraska 144813 17414 12.03 74861.66
Missouri 297342 17371 5.84 48447.33
Rhode Island 211593 16269 7.69 199736.44
Utah 282685 15839 5.60 88174.89
Arkansas 228434 13928 6.10 75694.91
Kentucky 306380 13197 4.31 68577.09
Nevada 230796 12169 5.27 74929.97
Kansas 142124 11753 8.27 48784.31
Delaware 88684 10499 11.84 91073.40
New Mexico 275897 10153 3.68 131578.21
District of Columbia 72199 9903 13.72 102301.24
Oklahoma 269103 9355 3.48 68007.32
Oregon 189136 6366 3.37 44843.00
Puerto Rico 6111 6111 100.00 1913.46
South Dakota 70353 6109 8.68 79525.56
New Hampshire 101984 5450 5.34 75004.17
Idaho 68012 3743 5.50 37951.75
North Dakota 90654 3193 3.52 118958.82
Maine 74060 2878 3.89 55095.48
West Virginia 144429 2418 1.67 80815.40
Wyoming 36154 1144 3.16 62468.14
Vermont 54745 1135 2.07 87733.92
Hawaii 64374 762 1.18 45465.97
Alaska 81185 707 0.87 110977.45
Montana 66870 655 0.98 62566.78

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 120504 0 0.00 60838 50.49 53902 5751 0 0.00 4.77
Tamil Nadu 52334 0 0.00 28641 54.73 23068 625 0 0.00 1.19
Delhi 49979 2877 6.11 21341 42.70 26669 1969 65 3.41 3.94
Gujarat 25658 0 0.00 17827 69.48 6239 1592 0 0.00 6.20
Uttar Pradesh 15785 0 0.00 9638 61.06 5659 488 0 0.00 3.09
Rajasthan 13857 0 0.00 10742 77.52 2785 330 0 0.00 2.38
West Bengal 12735 0 0.00 7001 54.97 5216 518 0 0.00 4.07
Madhya Pradesh 11426 0 0.00 8632 75.55 2308 486 0 0.00 4.25
Haryana 9218 0 0.00 4556 49.43 4528 134 0 0.00 1.45
State Unassigned 8927 224 2.57 0 0.00 8927 0 0 NaN 0.00
Karnataka 7944 0 0.00 4983 62.73 2842 115 0 0.00 1.45
Andhra Pradesh 7496 0 0.00 3772 50.32 3632 92 0 0.00 1.23
Bihar 7040 0 0.00 4961 70.47 2035 44 0 0.00 0.62
Telangana 6027 0 0.00 3301 54.77 2531 195 0 0.00 3.24
Jammu and Kashmir 5555 0 0.00 3144 56.60 2340 71 0 0.00 1.28
Assam 4904 43 0.88 2849 58.10 2043 9 0 0.00 0.18
Odisha 4512 0 0.00 3144 69.68 1354 14 0 0.00 0.31
Punjab 3615 0 0.00 2570 71.09 962 83 0 0.00 2.30
Kerala 2795 0 0.00 1413 50.55 1358 22 0 0.00 0.79
Uttarakhand 2103 0 0.00 1386 65.91 678 26 0 0.00 1.24
Chhattisgarh 1946 0 0.00 1202 61.77 735 9 0 0.00 0.46
Jharkhand 1919 0 0.00 1198 62.43 710 11 0 0.00 0.57
Tripura 1154 1 0.09 639 55.37 514 1 0 0.00 0.09
Goa 705 0 0.00 109 15.46 596 0 0 NaN 0.00
Ladakh 687 0 0.00 95 13.83 591 1 0 0.00 0.15
Manipur 606 0 0.00 199 32.84 407 0 0 NaN 0.00
Himachal Pradesh 595 0 0.00 373 62.69 204 7 0 0.00 1.18
Chandigarh 374 0 0.00 306 81.82 62 6 0 0.00 1.60
Puducherry 271 26 10.61 116 42.80 149 6 1 20.00 2.21
Nagaland 198 5 2.59 109 55.05 89 0 0 NaN 0.00
Mizoram 130 0 0.00 1 0.77 129 0 0 NaN 0.00
Arunachal Pradesh 103 0 0.00 11 10.68 92 0 0 NaN 0.00
Sikkim 70 0 0.00 5 7.14 65 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 60 0 0.00 14 23.33 46 0 0 NaN 0.00
Andaman and Nicobar Islands 45 0 0.00 35 77.78 10 0 0 NaN 0.00
Meghalaya 43 0 0.00 32 74.42 10 1 0 0.00 2.33
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 929356 92518 216 0.23 9.96 1673 60 14647 16516 17.85
Piemonte 380395 31162 31 0.10 8.19 397 25 2290 4032 12.94
Emilia-Romagna 435351 28143 32 0.11 6.46 159 11 1281 4219 14.99
Veneto 847997 19233 8 0.04 2.27 33 1 607 1994 10.37
Toscana 303786 10195 2 0.02 3.36 23 13 438 1093 10.72
Liguria 132375 9903 7 0.07 7.48 70 2 246 1536 15.51
Lazio 309169 7986 9 0.11 2.58 261 38 997 822 10.29
Marche 125339 6768 4 0.06 5.40 19 0 577 994 14.69
Campania 259655 4615 1 0.02 1.78 52 6 242 431 9.34
Puglia 156582 4519 3 0.07 2.89 34 1 306 538 11.91
P.A. Trento 107366 4457 8 0.18 4.15 2 0 59 465 10.43
Sicilia 186253 3464 2 0.06 1.86 24 3 637 280 8.08
Friuli Venezia Giulia 167485 3301 2 0.06 1.97 15 1 97 343 10.39
Abruzzo 95546 3281 2 0.06 3.43 58 2 434 458 13.96
P.A. Bolzano 77954 2613 2 0.08 3.35 8 2 85 292 11.17
Umbria 85586 1437 0 0.00 1.68 5 2 16 77 5.36
Sardegna 72722 1367 1 0.07 1.88 10 0 31 132 9.66
Valle d’Aosta 17057 1191 0 0.00 6.98 5 0 6 145 12.17
Calabria 85222 1165 3 0.26 1.37 18 0 35 97 8.33
Molise 19984 440 0 0.00 2.20 1 0 60 23 5.23
Basilicata 36382 401 0 0.00 1.10 0 1 10 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54383 120 0.22 5340 42 0.79 9.82 6369.77 625.46 1 in 157
Ontario 34574 192 0.56 2613 6 0.23 7.56 2350.08 177.61 1 in 426
Alberta 7579 49 0.65 152 1 0.66 2.01 1717.37 34.44 1 in 582
British Columbia 2783 8 0.29 168 0 0.00 6.04 544.52 32.87 1 in 1836
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 708 15 2.16 13 0 0.00 1.84 599.15 11.00 1 in 1669
Manitoba 308 2 0.65 7 0 0.00 2.27 223.59 5.08 1 in 4472
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 164 0 0.00 2 0 0.00 1.22 210.26 2.56 1 in 4756
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1631 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1124 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Beijing 777 9 1.16
Shanghai 697 7 1.00
Jiangsu 653 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 362 1 0.28
Hebei 340 6 1.76
Shaanxi 314 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 197 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 153 2 1.31
Gansu 151 2 1.32
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6696.37 361.98 1 in 149
Brazil 4673.40 228.13 1 in 214
Russia 3877.65 52.94 1 in 258
India 284.19 9.39 1 in 3519
United Kingdom 4544.48 637.76 1 in 220
Spain 5256.49 581.57 1 in 190
Peru 7596.77 231.92 1 in 132
Italy 3937.81 570.67 1 in 254
Chile 12471.08 212.80 1 in 80
Iran 2435.28 114.24 1 in 411
France 2914.94 441.95 1 in 343
Germany 2292.75 107.20 1 in 436
Turkey 2277.33 60.41 1 in 439
Mexico 1280.61 152.84 1 in 781
Pakistan 837.88 16.39 1 in 1193
Saudi Arabia 4432.03 34.58 1 in 226
Bangladesh NA NA 1 in NA
Canada 2710.22 222.43 1 in 369
China 60.96 3.35 1 in 16404
Qatar 31997.35 32.59 1 in 31

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 211260 22199 10.51
Cook Illinois 86179 4333 5.03
Los Angeles California 78348 3027 3.86
Nassau New York 41349 2172 5.25
Suffolk New York 40810 1961 4.81
Westchester New York 34409 1410 4.10
Philadelphia Pennsylvania 24723 1540 6.23
Maricopa Arizona 23880 598 2.50
Miami-Dade Florida 23854 859 3.60
Middlesex Massachusetts 23407 1788 7.64
Wayne Michigan 21941 2680 12.21
Suffolk Massachusetts 19477 963 4.94
Hudson New Jersey 19249 1293 6.72
Bergen New Jersey 18949 1684 8.89
Harris Texas 18552 305 1.64
Essex New Jersey 18499 1758 9.50
Prince George’s Maryland 17666 649 3.67
Passaic New Jersey 16706 1009 6.04
Middlesex New Jersey 16547 1094 6.61
Fairfield Connecticut 16398 1352 8.24
Union New Jersey 16304 1132 6.94
Essex Massachusetts 15739 1063 6.75
Dallas Texas 15648 307 1.96
Montgomery Maryland 13862 707 5.10
Rockland New York 13474 665 4.94
Fairfax Virginia 13209 431 3.26
Riverside California 12467 408 3.27
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12105 1052 8.69
Worcester Massachusetts 12050 889 7.38
Oakland Michigan 11425 1071 9.37
Hartford Connecticut 11322 1336 11.80
Marion Indiana 10852 661 6.09
Orange New York 10604 473 4.46
Hennepin Minnesota 10512 732 6.96
Broward Florida 10111 365 3.61
San Diego California 10092 331 3.28
Milwaukee Wisconsin 9945 360 3.62
District of Columbia District of Columbia 9903 527 5.32
Palm Beach Florida 9854 450 4.57
Clark Nevada 9535 387 4.06
Ocean New Jersey 9351 835 8.93
Orange California 9292 250 2.69
Lake Illinois 9207 392 4.26
King Washington 8963 597 6.66
Norfolk Massachusetts 8935 905 10.13
Monmouth New Jersey 8830 692 7.84
DuPage Illinois 8574 443 5.17
Plymouth Massachusetts 8555 636 7.43
Jefferson Louisiana 8507 472 5.55

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc